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Learn about discrete probability distributions through hands-on implementation in R programming language in this comprehensive lecture. Explore fundamental concepts of discrete distributions, including probability mass functions, cumulative distribution functions, and their practical applications. Master techniques for generating random samples, calculating probabilities, and visualizing discrete distributions using R's built-in functions and packages. Gain practical experience working with common discrete distributions such as Binomial, Poisson, and Geometric distributions while developing essential skills for statistical analysis and data science applications.